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Patients data for meta-analysis of genotype-phenotype associations in Bardet-Biedl Syndrome

Authors: Veronika Niederlova; Martin Modrák; Oksana Tsyklauri; Martina Huranova; Ondrej Stepanek;

Patients data for meta-analysis of genotype-phenotype associations in Bardet-Biedl Syndrome

Abstract

Data used for metaanalysis of the genotype-phenotype relationship in Bardet Biedl Syndrome. File "EV table 1 literature.xlsx" describes studies that were included in the metaanalysis. File "EV table 2 dataset.xlsx" contains individual patient data. Each row corresponds to a patient. If the same patient was reported in more than 1 study, their data were merged into one row. The columns are as follows: * source - a citation to the study the patient originated in * unique family - no two patients with "1" in this column belong to the same family * source case n. - A unique identifier of the patient within the study * gene - A gene carrying the principal BBSome related mutation * nucleotide change (allele 1,2) - description of the mutations in DNA individual alleles of the gene, in HGVS nomenclature * protein change (allele 1,2) - description of how the mutations in DNA change the resulting protein, in HGVS nomenclature * type of mut allele 1,2 - whether the given mutation is considered missense (MS) or large truncation (trunc) * mut/mut - combination of mutations for both alleles * additional mutations - mutations in other BBSome-related genes. Format is "gene: DNA mutation, protein mutation" * sex - "F" or "M" (where reported) * age group - age group (where reported) * age - age in years. Contains fractions, decimal values and "5 month" * RD, OBE, PD, CI, REP, REN, HEART, LIV - presense or absence of phenotypes, if reported. RD – retinal dystrophy, OBE – obesity, PD – polydactyly, CI – cognitive impairment , REP – reproductive system anomalies, REN – renal anomalies, HRT – heart disease, LIV – liver anomalies. Values are "" (not reported), "0" (no phenotype), "1" (phenotype present), "1!" conflicting reports of phenotype in multiple studies (some patients were involved in multiple studies) * note - miscellanous text, in particular contains notes on patients merged from multiple studies ==== The protocol for this meta-analysis was pre-registered with PROSPERO (CRD42018096099). PubMed and Google Scholar databases were searched in May 2018 for the following keywords: [bardet-biedl syndrome AND (genotype phenotype OR cohort)]. Other suitable records were identified by snowball searching, in particular, by retrieving relevant articles from the references of the studied full-texts. In addition, all the references included in the publicly available Euro-Wabb database (https://lovd.euro-wabb.org/home.php) were covered. Our search was limited to the literature published in English language and covered the period from the inception of each database to the 21st of May 2018.

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Keywords

bardet-biedl syndrome, metaanalysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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